ITK  5.2.0
Insight Toolkit
Examples/RegistrationITKv4/ImageRegistration15.cxx
/*=========================================================================
*
* Copyright NumFOCUS
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* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
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* http://www.apache.org/licenses/LICENSE-2.0.txt
*
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
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// Software Guide : BeginLatex
//
// This example illustrates how to do registration with a 2D Translation
// Transform, the Normalized Mutual Information metric and the One+One
// evolutionary optimizer.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
// The following section of code implements a Command observer
// used to monitor the evolution of the registration process.
//
#include "itkCommand.h"
class CommandIterationUpdate : public itk::Command
{
public:
using Self = CommandIterationUpdate;
using Superclass = itk::Command;
using Pointer = itk::SmartPointer<Self>;
itkNewMacro(Self);
protected:
CommandIterationUpdate() { m_LastMetricValue = 0; }
public:
using OptimizerType = itk::OnePlusOneEvolutionaryOptimizer;
using OptimizerPointer = const OptimizerType *;
void
Execute(itk::Object * caller, const itk::EventObject & event) override
{
Execute((const itk::Object *)caller, event);
}
void
Execute(const itk::Object * object, const itk::EventObject & event) override
{
auto optimizer = static_cast<OptimizerPointer>(object);
if (!itk::IterationEvent().CheckEvent(&event))
{
return;
}
double currentValue = optimizer->GetValue();
// Only print out when the Metric value changes
if (std::fabs(m_LastMetricValue - currentValue) > 1e-7)
{
std::cout << optimizer->GetCurrentIteration() << " ";
std::cout << currentValue << " ";
std::cout << optimizer->GetFrobeniusNorm() << " ";
std::cout << optimizer->GetCurrentPosition() << std::endl;
m_LastMetricValue = currentValue;
}
}
private:
double m_LastMetricValue;
};
int
main(int argc, char * argv[])
{
if (argc < 4)
{
std::cerr << "Missing Parameters " << std::endl;
std::cerr << "Usage: " << argv[0];
std::cerr << " fixedImageFile movingImageFile ";
std::cerr << "outputImagefile [numberOfHistogramBins] ";
std::cerr << "[initialRadius] [epsilon] [initialTx] [initialTy]"
<< std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 2;
using PixelType = unsigned char;
using FixedImageType = itk::Image<PixelType, Dimension>;
using MovingImageType = itk::Image<PixelType, Dimension>;
using OptimizerType = itk::OnePlusOneEvolutionaryOptimizer;
using InterpolatorType =
using RegistrationType =
using MetricType =
FixedImageType,
MovingImageType>;
TransformType::Pointer transform = TransformType::New();
OptimizerType::Pointer optimizer = OptimizerType::New();
InterpolatorType::Pointer interpolator = InterpolatorType::New();
RegistrationType::Pointer registration = RegistrationType::New();
registration->SetOptimizer(optimizer);
registration->SetTransform(transform);
registration->SetInterpolator(interpolator);
MetricType::Pointer metric = MetricType::New();
registration->SetMetric(metric);
unsigned int numberOfHistogramBins = 32;
if (argc > 4)
{
numberOfHistogramBins = std::stoi(argv[4]);
std::cout << "Using " << numberOfHistogramBins << " Histogram bins"
<< std::endl;
}
histogramSize.SetSize(2);
histogramSize[0] = numberOfHistogramBins;
histogramSize[1] = numberOfHistogramBins;
metric->SetHistogramSize(histogramSize);
const unsigned int numberOfParameters = transform->GetNumberOfParameters();
using ScalesType = MetricType::ScalesType;
ScalesType scales(numberOfParameters);
scales.Fill(1.0);
metric->SetDerivativeStepLengthScales(scales);
using FixedImageReaderType = itk::ImageFileReader<FixedImageType>;
using MovingImageReaderType = itk::ImageFileReader<MovingImageType>;
FixedImageReaderType::Pointer fixedImageReader =
FixedImageReaderType::New();
MovingImageReaderType::Pointer movingImageReader =
MovingImageReaderType::New();
fixedImageReader->SetFileName(argv[1]);
movingImageReader->SetFileName(argv[2]);
registration->SetFixedImage(fixedImageReader->GetOutput());
registration->SetMovingImage(movingImageReader->GetOutput());
fixedImageReader->Update();
movingImageReader->Update();
FixedImageType::ConstPointer fixedImage = fixedImageReader->GetOutput();
registration->SetFixedImageRegion(fixedImage->GetBufferedRegion());
transform->SetIdentity();
using ParametersType = RegistrationType::ParametersType;
ParametersType initialParameters = transform->GetParameters();
initialParameters[0] = 0.0;
initialParameters[1] = 0.0;
if (argc > 8)
{
initialParameters[0] = std::stod(argv[7]);
initialParameters[1] = std::stod(argv[8]);
}
registration->SetInitialTransformParameters(initialParameters);
std::cout << "Initial transform parameters = ";
std::cout << initialParameters << std::endl;
using OptimizerScalesType = OptimizerType::ScalesType;
OptimizerScalesType optimizerScales(transform->GetNumberOfParameters());
FixedImageType::RegionType region = fixedImage->GetLargestPossibleRegion();
FixedImageType::SpacingType spacing = fixedImage->GetSpacing();
optimizerScales[0] = 1.0 / (0.1 * size[0] * spacing[0]);
optimizerScales[1] = 1.0 / (0.1 * size[1] * spacing[1]);
optimizer->SetScales(optimizerScales);
GeneratorType::Pointer generator = GeneratorType::New();
generator->Initialize(12345);
optimizer->MaximizeOn();
optimizer->SetNormalVariateGenerator(generator);
double initialRadius = 0.01;
if (argc > 5)
{
initialRadius = std::stod(argv[5]);
std::cout << "Using initial radius = " << initialRadius << std::endl;
}
optimizer->Initialize(initialRadius);
double epsilon = 0.001;
if (argc > 6)
{
epsilon = std::stod(argv[6]);
std::cout << "Using epsilon = " << epsilon << std::endl;
}
optimizer->SetEpsilon(epsilon);
optimizer->SetMaximumIteration(2000);
// Create the Command observer and register it with the optimizer.
//
CommandIterationUpdate::Pointer observer = CommandIterationUpdate::New();
optimizer->AddObserver(itk::IterationEvent(), observer);
try
{
registration->Update();
std::cout << "Optimizer stop condition: "
<< registration->GetOptimizer()->GetStopConditionDescription()
<< std::endl;
}
catch (const itk::ExceptionObject & err)
{
std::cout << "ExceptionObject caught !" << std::endl;
std::cout << err << std::endl;
return EXIT_FAILURE;
}
ParametersType finalParameters = registration->GetLastTransformParameters();
const double finalTranslationX = finalParameters[0];
const double finalTranslationY = finalParameters[1];
unsigned int numberOfIterations = optimizer->GetCurrentIteration();
const double bestValue = optimizer->GetValue();
// Print out results
std::cout << "Result = " << std::endl;
std::cout << " Translation X = " << finalTranslationX << std::endl;
std::cout << " Translation Y = " << finalTranslationY << std::endl;
std::cout << " Iterations = " << numberOfIterations << std::endl;
std::cout << " Metric value = " << bestValue << std::endl;
using ResampleFilterType =
TransformType::Pointer finalTransform = TransformType::New();
finalTransform->SetParameters(finalParameters);
finalTransform->SetFixedParameters(transform->GetFixedParameters());
ResampleFilterType::Pointer resample = ResampleFilterType::New();
resample->SetTransform(finalTransform);
resample->SetInput(movingImageReader->GetOutput());
resample->SetSize(fixedImage->GetLargestPossibleRegion().GetSize());
resample->SetOutputOrigin(fixedImage->GetOrigin());
resample->SetOutputSpacing(fixedImage->GetSpacing());
resample->SetOutputDirection(fixedImage->GetDirection());
resample->SetDefaultPixelValue(100);
using OutputImageType = itk::Image<PixelType, Dimension>;
WriterType::Pointer writer = WriterType::New();
writer->SetFileName(argv[3]);
writer->SetInput(resample->GetOutput());
writer->Update();
// Software Guide : EndCodeSnippet
return EXIT_SUCCESS;
}
itk::NormalizedMutualInformationHistogramImageToImageMetric
Computes normalized mutual information between two images to be registered using the histograms of th...
Definition: itkNormalizedMutualInformationHistogramImageToImageMetric.h:52
itkImageFileReader.h
itk::GTest::TypedefsAndConstructors::Dimension2::SizeType
ImageBaseType::SizeType SizeType
Definition: itkGTestTypedefsAndConstructors.h:49
itk::ImageRegistrationMethod
Base class for Image Registration Methods.
Definition: itkImageRegistrationMethod.h:70
itk::SmartPointer< Self >
itkCastImageFilter.h
itkTranslationTransform.h
itk::ImageFileReader
Data source that reads image data from a single file.
Definition: itkImageFileReader.h:75
itk::LinearInterpolateImageFunction
Linearly interpolate an image at specified positions.
Definition: itkLinearInterpolateImageFunction.h:50
itk::Command
Superclass for callback/observer methods.
Definition: itkCommand.h:45
itk::Statistics::NormalVariateGenerator
Normal random variate generator.
Definition: itkNormalVariateGenerator.h:98
itk::ImageFileWriter
Writes image data to a single file.
Definition: itkImageFileWriter.h:87
itk::Command
class ITK_FORWARD_EXPORT Command
Definition: itkObject.h:43
itk::GTest::TypedefsAndConstructors::Dimension2::RegionType
ImageBaseType::RegionType RegionType
Definition: itkGTestTypedefsAndConstructors.h:54
itk::TranslationTransform
Translation transformation of a vector space (e.g. space coordinates)
Definition: itkTranslationTransform.h:43
itkImageRegistrationMethod.h
itkNormalizedMutualInformationHistogramImageToImageMetric.h
itkOnePlusOneEvolutionaryOptimizer.h
itk::Command::Execute
virtual void Execute(Object *caller, const EventObject &event)=0
itkImageFileWriter.h
itk::Size::SetSize
void SetSize(const SizeValueType val[VDimension])
Definition: itkSize.h:179
itkNormalVariateGenerator.h
itk::ResampleImageFilter
Resample an image via a coordinate transform.
Definition: itkResampleImageFilter.h:90
itk::Object
Base class for most ITK classes.
Definition: itkObject.h:62
itk::Math::e
static constexpr double e
Definition: itkMath.h:54
itk::Image
Templated n-dimensional image class.
Definition: itkImage.h:86
itk::EventObject
Abstraction of the Events used to communicating among filters and with GUIs.
Definition: itkEventObject.h:57
itk::OnePlusOneEvolutionaryOptimizer
1+1 evolutionary strategy optimizer
Definition: itkOnePlusOneEvolutionaryOptimizer.h:71
itkResampleImageFilter.h
itk::GTest::TypedefsAndConstructors::Dimension2::Dimension
constexpr unsigned int Dimension
Definition: itkGTestTypedefsAndConstructors.h:44
itkCommand.h
itk::Size::GetSize
const SizeValueType * GetSize() const
Definition: itkSize.h:169